Imitation-tumor targeting based on continuous-wave near-infrared tomography. (31st October 2017)
- Record Type:
- Journal Article
- Title:
- Imitation-tumor targeting based on continuous-wave near-infrared tomography. (31st October 2017)
- Main Title:
- Imitation-tumor targeting based on continuous-wave near-infrared tomography
- Authors:
- Liu, Dan
Liu, Xin
Zhang, Yan
Wang, Qisong
Lu, Jingyang
Sun, Jinwei - Abstract:
- Abstract: Continuous-wave Near-Infrared (NIR) optical spectroscopy has shown great diagnostic capability in the early tumor detection with advantages of low-cost, portable, non-invasive, and non-radiative. In this paper, Modified Lambert-Beer Theory is deployed to address the low-resolution issues of the NIR technique and to design the tumor detecting and imaging system. Considering that tumor tissues have features such as high blood flow and hypoxia, the proposed technique can detect the location, size, and other information of the tumor tissues by comparing the absorbance between pathological and normal tissues. Finally, the tumor tissues can be imaged through tomographic method. The simulation experiments prove that the proposed technique and designed system can efficiently detect the tumor tissues, achieving imaging precision within 1 mm. The work of the paper has shown great potential in the diagnosis of tumor close to body surface.
- Is Part Of:
- Computer assisted surgery. Volume 22(2017)Supplement 1
- Journal:
- Computer assisted surgery
- Issue:
- Volume 22(2017)Supplement 1
- Issue Display:
- Volume 22, Issue 1 (2017#)
- Year:
- 2017#
- Volume:
- 22
- Issue:
- 1
- Issue Sort Value:
- NaN-0022-0001-0000
- Page Start:
- 157
- Page End:
- 162
- Publication Date:
- 2017-10-31
- Subjects:
- Near-infrared -- tumor detection -- Lambert-Beer theory -- tomography
Computer-assisted surgery -- Periodicals - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/24699322.2017.1389393 ↗
- Languages:
- English
- ISSNs:
- 2469-9322
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5330.xml